{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "supported platform", "vulnerable system", "vulnerability", "vulnerable system version", "time"]}, {"event_type": "data breach", "trigger": true, "arguments": ["tool", "purpose", "number of data", "damage amount", "place", "victim", "attacker", "number of victim", "compromised data", "time"]}, {"event_type": "ransom", "trigger": true, "arguments": ["payment method", "price", "attack pattern", "damage amount", "tool", "victim"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["releaser", "common vulnerabilities and exposures", "patch number", "vulnerability", "issues addressed", "vulnerable system version"]}, {"event_type": "phishing", "trigger": true, "arguments": ["purpose", "attack pattern", "trusted entity", "damage amount", "attacker", "tool", "place", "time", "victim"]}], "input": "Her TSB current account was looted , and she ’s received a number of texts purporting to be from TSB ."}
{"discover vulnerability": [], "data breach": [], "ransom": [], "patch vulnerability": [], "phishing": [{"trigger": "received", "arguments": {"purpose": "NAN", "attack pattern": "NAN", "trusted entity": "NAN", "damage amount": "NAN", "attacker": "NAN", "tool": "texts", "place": "NAN", "time": "NAN", "victim": "she"}}]}